Systems and methods for improved perinatal workflow

ABSTRACT

Certain examples provide systems and methods for improved perinatal workflow. An example system includes a user interface to display a time continuum of live data for a selected patient. The user interface includes a compressed view of the time continuum of live data over a first time period; an expanded view of the time continuum of live data over a second time period, the second time period to be shorter than the first time period; one or more indicators to be associated with data shown in the expanded view, each indicator to indicate a point of interest in the data; a first control to change the second time period for the expanded view display; and a second control to mark an indicator with respect to the data shown in the expanded view of the time continuum of live data.

RELATED APPLICATIONS

The present application relates to and claims the benefit of priorityfrom U.S. Provisional Patent Application No. 61/387,922, filed on Sep.29, 2010, which is herein incorporated by reference in its entirety.

FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

[Not Applicable]

MICROFICHE/COPYRIGHT REFERENCE

[Not Applicable]

BACKGROUND

Perinatal systems involve a high degree of data granularity and aparticular workflow for high acuity cases. Patient condition can changevery rapidly so large delays in getting information into an electronicsystem are not acceptable.

BRIEF SUMMARY

Certain examples provide systems and methods for improved perinatalworkflow.

Certain examples provide a patient monitor system providing dataregarding a selected patient to a user. The system includes a memory tobuffer live data received from one or more external sources for aselected patient. The system includes a user interface to display a timecontinuum of live data for the selected patient, the time continuumincluding data from a current moment to the beginning of a cycle of carefor the selected patient. The user interface includes a compressed viewof the time continuum of live data over a first time period; an expandedview of the time continuum of live data over a second time period, thesecond time period to be shorter than the first time period; one or moreindicators to be associated with data shown in the expanded view, eachindicator to indicate a point of interest in the data; a first controlto change the second time period for the expanded view display; and asecond control to mark an indicator with respect to the data shown inthe expanded view of the time continuum of live data. The systemincludes a processor to process data for output via the user interfaceand to process user input.

Certain examples provide a computer-implemented method for real timemonitoring of patient data. The method includes receiving live data fromone or more external sources for a selected patient. The method includesdisplaying, via a user interface, a time continuum of live data for theselected patient, the time continuum including data from a currentmoment to the beginning of a cycle of care for the selected patient, thedisplay via user interface including: a compressed view of the timecontinuum of live data over a first time period; an expanded view of thetime continuum of live data over a second time period, the second timeperiod to be shorter than the first time period; one or more indicatorsto be associated with data shown in the expanded view, each indicator toindicate a point of interest in the data; a first control to change thesecond time period for the expanded view display; and a second controlto mark an indicator with respect to the data shown in the expanded viewof the time continuum of live data. The method includes receiving andprocessing user input with respect to the user interface.

Certain examples include a tangible computer readable storage mediumincluding executable program instructions which, when executed by acomputer processor, cause the computer to implement a patient monitoringsystem providing data regarding a selected patient to a user. Thepatient monitoring system includes a user interface to display a timecontinuum of live data for a selected patient, the time continuumincluding data from a current moment to the beginning of a cycle of carefor the selected patient. The user interface includes a compressed viewof the time continuum of live data over a first time period; an expandedview of the time continuum of live data over a second time period, thesecond time period to be shorter than the first time period; one or moreindicators to be associated with data shown in the expanded view, eachindicator to indicate a point of interest in the data; a first controlto change the second time period for the expanded view display; and asecond control to mark an indicator with respect to the data shown inthe expanded view of the time continuum of live data.

BRIEF DESCRIPTION OF SEVERAL VIEWS OF THE DRAWINGS

FIGS. 1-2 illustrate example dock interaction displays providing patientinformation to a user.

FIG. 3 depicts a flow chart for an example method for providing aclinical surveillance view of patient data to a user.

FIG. 4 illustrates an example viewer providing a time continuum andassociated information for a monitored patient.

FIG. 5 depicts a flow chart for an example method for providing aclinical time continuum and associated real time data for a patient to auser.

FIG. 6 depicts a flow chart for an example method for voice recording,playback, and integration with a patient record.

FIG. 7 illustrates an example voice recording and review interface.

FIG. 8 illustrates a flow chart for an example method for smart clinicalannotation of patient information in a clinical workflow.

FIG. 9 illustrates an example interface for annotation review.

FIG. 10 is a block diagram of an example processor system that can beused to implement the systems, apparatus and methods described herein.

The foregoing summary, as well as the following detailed description ofcertain embodiments of the present invention, will be better understoodwhen read in conjunction with the appended drawings. For the purpose ofillustrating the invention, certain embodiments are shown in thedrawings. It should be understood, however, that the present inventionis not limited to the arrangements and instrumentality shown in theattached drawings.

DETAILED DESCRIPTION OF CERTAIN EXAMPLES

Although the following discloses example methods, systems, articles ofmanufacture, and apparatus including, among other components, softwareexecuted on hardware, it should be noted that such methods and apparatusare merely illustrative and should not be considered as limiting. Forexample, it is contemplated that any or all of these hardware andsoftware components could be embodied exclusively in hardware,exclusively in software, exclusively in firmware, or in any combinationof hardware, software, and/or firmware. Accordingly, while the followingdescribes example methods, systems, articles of manufacture, andapparatus, the examples provided are not the only way to implement suchmethods, systems, articles of manufacture, and apparatus.

When any of the appended claims are read to cover a purely softwareand/or firmware implementation, at least one of the elements in an atleast one example is hereby expressly defined to include a tangiblemedium such as a memory, DVD, CD, Blu-ray, etc. storing the softwareand/or firmware.

Certain clinical areas, such as a high acuity perinatal department in ahospital, have a much higher ratio of clinician to patient because theclinician should be documenting continuously. Traditionally, large delayis introduced because clinicians have gloved hands and are treating apatient and must then wash their hands, get to a computer to enterinformation, etc. Thus, an hour or more may pass before documentation isentered. People forget information or chart it at the wrong time, andthat impacts legal liability and patient treatment.

Additionally, hospitals are demanding enterprise systems, so departmentsystems should have better interoperability with enterprise systems.Systems should help user be better and smarter in documentation. Certainexamples are agnostic to any enterprise system. Certain examples helpsupport an improved real-time perinatal workflow with additional tools,information, and capabilities. Certain examples provide sharing of aclinical (e.g., perinatal) application with other clinical applications.Certain examples provide trend navigation through clinical (e.g.,perinatal) data. Certain examples provide a multi-patient sidebar viewof real time and/or stored patient data. Certain examples provide a viewof a time continuum and associated data along with an ability to edit,annotate, report, and retrieve information associated with a patient'stime continuum.

Clinical Surveillance View

Healthcare professionals can review and document patient data in anapplication (e.g., a perinatal application) while monitoring variouslive streaming data of other patients using an overlaid user interface(UI) widget. A healthcare professional can examine a detailed view ofany of the other patients' data by selecting a patient and displayingthe detailed information, while switching contexts in the underlyingapplication to allow continuous documentation.

In certain examples, upon activation, a Clinician's Surveillance View(CSV) docks or positions itself with respect to one of four sides of amonitor/display screen (e.g., against an edge of the display). Whendesired, the CSV can be left to float in any section of the visualdisplay. The CSV overlays, in a non-intrusive way, an underlyingapplication that is currently being used, which helps enable the healthcare professional to pursue other tasks while monitoring information inthe CSV bar.

The CSV includes certain interactions and options to enable health careprofessionals to add and monitor patient information in real time. Whennecessary and/or desired, health care professionals can click on one ofthe patients live feeds to view additional information. When a live feedis clicked to view additional information, other background applicationsbring that particular patient's information into focus to add redundancyin data manipulation.

Thus, the CVS helps to prevent interruptions in usage of other systemsinvolved in a clinical (e.g., perinatal) workflow, such as an enterprisewide system, while allowing clinicians to simultaneously (or at leastsubstantially simultaneously given some system delay) monitor live datafor multiple patients. For example, the CVS can be used in a labor anddelivery environment with real-time fetal monitoring, as well as in anyhigh-risk care area.

In certain examples, CVS can interoperate and function concurrently withenterprise wide application(s). Enterprise wide applications aregenerally non-specific to a particular care area, and CVS facilitatesuser access to functionality and rich clinical content targeted forhigh-risk care areas, while allowing user to continue to leverageenterprise wide systems for comprehensive documentation.

In certain examples, continuous streams of live data can be embeddedwithin an overlaid application.

FIG. 1 illustrates an example dock interaction display 100 or “sidebar”providing a patient list and related real time waveform information to auser. The display 100 can be positioned anywhere on a display screen bya user, such as in a middle right hemisphere of a user's screen. Thedisplay 100 can interact with and/or be apart from other application(s)executing on the user's computer. As demonstrated in FIG. 1, a user cansearch for a patient 110, add a patient 120, drag and drop 130patient(s) from a list 135 to be monitored, etc. Once a patient is addedto the monitoring list, real time (or substantially real time includinga system delay (e.g., processing, data retrieval from memory,communication, etc.)) data (e.g., fetal monitor, patient monitor, and/orother waveform data, etc.) 140 can be displayed for one or more selectedpatients via the display 100. Additionally, an indicator or alert 150regarding one or more patients can be provided via the display 100.

FIG. 2 illustrates another example dock interaction display 200. Theexample display 200 depicts how the dock display 200 may look if dockedor positioned in a top hemisphere of a user's display screen.

In certain examples, using the patient sidebar or interaction display100, 200, a user can be provided with electrocardiogram (EKG) and/orother live streaming waveform data for selected patient(s). Color-codedalerting can be provided. A user can select a patient in the sidebar100, 200 to see a more detailed patient view. Live active scrolling canbe provided.

In certain examples, a voice-activated “mark” button can be provided inconjunction with the waveform data to allow a user to document inreal-time (or substantially real time) through keyboard input, mouseselection, voice indication, foot pedal, etc., to make a mark and/orother annotation on the “live” waveform. In certain examples, a mark canbe automatically converted into an annotation.

FIG. 3 depicts a flow chart for an example method 300 for providing aclinical surveillance view of patient data to a user. At 310, asurveillance viewer is positioned on a user's display. For example, theviewer can automatically (e.g., based on a default position,user-specified preference, concurrent application(s) executing,workflow, etc.) be positioned and/or manually be positioned by a user onthe display. The viewer overlays, in a non-intrusive way, one or moreunderlying application(s) currently in use on the display. Thus, a usercan interact with other applications in a patient care workflow whilemonitoring information in the surveillance viewer.

At 320, one or more patients to be monitored are identified. Forexample, a user can search for a patient. For example, a user canprovide a patient name and/or browse a list of available patient(s) toidentify one or more patients to be monitored. At 330, real time (e.g.,including substantially real time) data for the patient is displayed tothe user via the surveillance viewer. For example, fetal waveform,patient EKG, blood pressure, and/or other data can be displayed via alive feed to the user in the surveillance viewer. For example, thesurveillance monitor can be used in a labor and delivery environmentwith real-time fetal monitoring, as well as in any other high-risk carearea.

At 340, additional detail is provided upon selection of monitored data.For example, when a live feed (e.g., a fetal waveform) is clicked on,“moused” or hovered over, or otherwise selected to view additionalinformation, that particular information is retrieved for display and/orbrought into focus for the user.

At 350, an indicator or alert can be marked via the surveillance viewer.For example, an indicator or mark can be provided for a patient, a datafeed, etc., for display via the surveillance viewer.

Clinical Time Continuum at Point of Care

Alternatively and/or in addition, certain examples enable avisualization of directly and indirectly acquired clinical contentplotted over time and perpetually updated. Features of the visualizationinclude co-location of clinically relevant content collected fromdisparate sources, supplemented by a mechanism to initiate annotations(e.g., assessments and/or actions), through which a user can indicate,preserve, and/or visualize an intended association with the content thatmotivated the annotation.

Additionally, certain examples provide for initiation of recording by anexternal recording device (e.g., audio, video, etc.), at a point ofcare, in order to reconstitute annotations for formal documentation at alater time.

Certain examples provide a continuously updating graph including time asthe x axis to plot direct observations. Indirect observations arerendered on the same timeline, presenting a visual indicator of sourceand, potentially, a summary of content.

As observations are collected, a support engine processes observationsto discover pattern(s) of potential correlation. Patterns are based oninterpreting the values of collected observations and deducing whereannotations may be appropriate, for example. These pattern discoveriesare displayed on the graph as indicators of potential annotationopportunity(ies).

Recorded annotations maintain an association to pattern sources, forexample. The association can indicate a target concern to which anannotation applies. These concerns can be composites of specificdiscrete observations, associated with a range of time, and/or with aseries of time ranges, for example. Additionally, users can initiateannotations and explicitly define their own observation dependency(ies),by selecting and highlighting either a range of time which includesknown content, or by explicitly multi-selecting specific content (e.g.,CTRL-CLICK), for example.

By setting context (e.g., via hover/mouse over, click/select, etc.) on apreviously noted annotation, associated clinical content can be exposed.Proposed exposition can include a bubble web from the annotation wherebythe associated content is encircled and a connection line is drawn, forexample. Associations based strictly on time range can highlight arelevant range on the graph, for example.

In certain examples, audio/visual recording can be initiated to invoke arecord action. The visual can then display the start of the record modeand its duration. The completion of the record mode results in thepreservation of the recording as a clinical observation and the creationof a proposed annotation (as noted above), with the recording as theassociated content.

Often, high-acuity clinical settings such as labor and delivery, sufferfrom inefficiency and lack of timely documentation. Care and safety of apatient is a top priority above clinical documentation of that care.However, timeliness of that documentation leads to increased accuracyand availability of data for review by other clinicians. For example, ifa nurse is caring for a patient during delivery, he/she will be wearinggloves and other protective equipment. The nurse will be unable todocument using a keyboard or mouse until he/she can remove the gloves.The nurse also will be unable to document in a system if a patient hasimmediate needs such as turning onto side or starting a drip ofintravenous (IV) fluids. Certain examples allow a user to tag a timecontinuum using an input device such as keyboard/mouse, voicecommand/control, etc.

Additionally, clinicians may be interested in reviewing correlated dataas the data becomes available to a clinician. A clinician might not beaware that data is available or might have to search through multiplesources to correlate different data inputs (such as lab data, withvitals data, with fetal strip data, etc.). Because a clinician can seethe data correlated on one screen from multiple external sources, theclinician can now more efficiently review the data, make inferences fromthat data, and document interactions associated with a group of dataelements on a time continuum.

Certain examples provide a new level of usability for a live patientencounter and bedside documentation. Data representation facilitatescontextual interaction against a patient record at a specific point intime. Centralized visualization of different sources of data is providedon a patient time-continuum in a single application. The patient timecontinuum organization and display allows for correlation of otherseries/sources of data to provide further evidence of an event and itsrelated annotation. The time continuum display also enhances recognitionof associative relationships by providing visual indicators.

Alternatively, flowsheets can be used to record content over time.However, flowsheets are significantly more ridged in structure (havingtime bound to known intervals as columns). This consumes a significantamount of lateral real estate.

Certain examples allow for direct documentation upon a continuouswaveform. Furthermore, other clinical observations over time, such asXDS document awareness, lab messages, etc., can be documented anddisplayed upon the continuous waveform. Associative relationships, aswell as visual co-location, of the data can also be facilitated.

Rather than relied on paper printouts from fetal monitors that must bemanually written on, electronic fetal waveform capture with electronicannotations allow the content to be stored in a discoverable andsearchable format. Recordings can be automatically and/or manuallyinitiated, for example. In certain examples, hyperlinks can allowtraversal of associated content through data association(s).

FIG. 4 illustrates an example viewer 400 providing a time continuum andassociated information for a monitored patient. The viewer 400 conveysindications of monitored waveform data 410 provided against a baseline420 for a patient. The waveform data 410 represents a portion of a timecontinuum 405 for the patient (e.g., an expanded portion compared to acompressed overall view of the time continuum 405). As illustrated inFIG. 4 the time continuum 405 can provide a window 430 (e.g., an eighthour window) in a current care cycle for the patient, while the waveformdata 410 represents a current live feed or another selected subset ofthat data. The waveform data window 410 can provide a certain timesubset 440 determined automatically and/or specified by a user (e.g.,looking back five minutes, ten minutes, twenty minutes, etc.). One ormore controls 450 allow a user to overlay data, mark data, insertannotations or notes, etc. As represented in FIG. 4, automatic (e.g.,system or derived) annotations 460 as well as user-input annotations 470can be shown and interacted with via the viewer 400.

Using the viewer 400, a user documents with respect to a point of careas the user is providing care and ties the documentation to the timecontinuum 405. This information can be provided (e.g., automaticallyand/or manually) into a flowsheet and/or other format to be viewedand/or correlated with other information (e.g., a vital signs graph, EKGwaveform, lab results, etc.) so that the information all appears in thetime continuum 405. Information can be tied together and provided in avisual format, so that, for example, a user can see a last lab resultwhen a patient's EKG dropped. The user can open the lab result andsuperimpose a vital signs graph and see the information together forevaluation. Information can be provided in real-time (includingsubstantially in real time), not after the fact (like a longitudinalrecord).

In certain examples, the time continuum 405 can stretch from the currentmoment to the beginning of a cycle of care (e.g., the start ofpregnancy). For example, the time continuum 405 may include two hours oftest, then have no data for two weeks, then include a hospital visit,etc. In certain examples, a user can track everything done in the timecontinuum and can select and review individual items in more detail. Thetime continuum 405 can be presented chronologically based on occurrence,chronologically based on time of documentation, etc. The viewer 400 canprovide different ways to analyze a story and recreate what happened,for example.

In certain examples, data can be provided to a mobile device (e.g., atablet computer, smart phone, laptop, netbook, personal digitalassistant, etc.). For example, voice commands can be provided via awired or wireless connection (e.g., Bluetooth, Wi-Fi, etc.) and a usercan review information on the mobile, etc. In certain examples, themobile device can perform at least some of the processing for dictation,etc. Using the mobile device, a user can document “on the fly” as he orshe moves a patient from a waiting room to an operating room, forexample. Data can also be captured during transport from hospital tohospital and documentation maintained in transit to complete the patientrecord, for example.

In certain examples, a user may have other data not tied to the timecontinuum that he or she wants to see in the same space, but separatefrom the time continuum (e.g., a labor curve, vitals, growth curve,normal ranges, etc.). The viewer 400 can provide a separate axis forsuch information (e.g., an axis showing four hours of data versusfifteen minutes of waveform data).

In certain examples, the viewer 400 provides a real-time (includingsubstantially real time) push of updated information/content (e.g., labresults, etc.) that “pops up” or appears for a user to see as the useris documenting and treating a patient in real time. In certain examples,the viewer 400 can be pre-configured to quickly provide information to auser that he or she can popup in the time continuum 405 and then closeto resume patient charting. For example, the user can view the popupdata but does not have to pull the data item(s) into their timecontinuum.

In certain examples, the viewer 400 is provided as a “floating” windowthat is always on top and always available with other applicationsvisible and accessible underneath. In certain examples, a compressedview can be provided on top of the floating window to see trending overa long period of time without having to scroll through data, forexample.

In certain examples, the time continuum 405 can be searched by keywordand navigated to a location or locations for a corresponding annotation(or annotations). In certain examples, a user can grab or otherwiseselect a tab and navigate forward and/or backward through availabledata. The time continuum 405 and other information in the viewer 400 caninclude flags, indicators, and/or other pointer to data, events, and/orother information, for example.

FIG. 5 depicts a flow chart for an example method 500 for providing aclinical time continuum and associated real time data for a patient to auser. At 510, a patient is selected for monitoring and viewing via atime continuum viewer. At 520, a time continuum of data for the patientover a specified period is graphically represented via the viewer. At530, a real time or live portion (including substantially real time) ofthe time continuum data is displayed via the window. For example, thepast ten minutes of the patient's EKG waveform are displayed in greaterdetail apart from the overall time continuum. The time continuum and theportion continue to update in real time (including substantially realtime).

At 540, additional detail is provided upon selection of monitored data.For example, when a live feed (e.g., a fetal waveform) is clicked on,“moused” or hovered over, or otherwise selected to view additionalinformation, that particular information is retrieved for display and/orbrought into focus for the user.

At 550, an indicator or alert can be marked via the surveillance viewer.For example, an indicator or mark can be provided for a patient, a datafeed, etc., for display via the surveillance viewer.

Clinical Charting Using Voice and/or Video

Clinicians often need to record information quickly and store this datain a patient's electronic medical record (EMR) and/or other data store.By utilizing tools such as dictation voice recognition and videomonitoring of patient care, clinical data entry into the EMR and/orother data store can be automated.

In certain examples, a clinical system (e.g., a perinatal system) caninclude a voice and video recognition engine embedded in the softwareand/or hardware to capture audio and/or video content and identifypertinent data elements and events in recorded data. For example,captured audio can be parsed and spoken data matched to discrete EMRdata elements, while also noting a time index in the recording for quickrecall and playback.

For example, as a clinician provides care for a patient, audio and,optionally, video can be recorded, analyzed and parsed to identifyclinical data elements to be stored in the patient's EMR. Recordings canrun continuously, or can be started and stopped at the clinician'sdiscretion using a voice command, or other physical toggle (e.g., footpedal, keyboard, mouse, etc.). A time continuum can be updated with anindicator to show a time at which data capture was initiated.

A parsing and recognition system can identify discrete data elements inaudio and/or video and classify the data elements using standardterminology (e.g., SNOMED, ICD-9, ICD-10, NANDA, etc.) and/or hospitalprovided terminology for storage in the patient's EMR.

As elements are parsed, each discrete set of elements is indexed basedon time in the recording. The recorded session of care, as well as theparsed data, are saved for later authentication and accuracyverification. After the audio and/or video data is analyzed, a clinicianis presented with a user interface screen on a computer showing a listof discrete elements and corresponding values as interpreted or actionsperformed. The user interface facilitates user authentication andverification of the parsed data, for example. The user interface candisplay a confidence level, determined by an analysis engine, for thedata presented. In certain examples, each element and/or value includesa link to a specific time slice in the recording that is associated withthe analyzed data. The clinician can use this link to quickly replay therelevant portion of the recording and see or hear the information againfor verification. Access to the complete recorded session can be madeavailable for context if requested.

The analysis engine and user interface with indexed replay option allowclinicians to provide patient care while the system (e.g., a perinatalsystem) records the pertinent clinical data to the EMR quickly andaccurately.

Thus, while clinicians are busy taking care of their patients, it isvery difficult to document at the same time care is being given. Thereare often critical events that are time sensitive, and it is importantthat the clinician can record the data at the time of the event, whilesimultaneously providing patient care. Dictating a quick comment or a“mark” of some type can assist a clinician (e.g., a nurse) to accuratelydocument events as they occur (and/or shortly thereafter). For example,a nurse who has gloved hands and cannot touch a keyboard can dictate,“head delivered” in a perinatal application. Analysis of video candocument actions performed such as “patient was moved to side position”.The nurse can then go back after the event and confirm and/or add tohis/her documentation, for example.

Thus, certain examples facilitate faster and more accurate charting ofpatient data. Using dictation and dictation parsing, validation of theparsed data can be facilitated to provide more accurate patient recordsin a more efficient manner. Additionally, in some examples, videorecordings can also be analyzed and parsed to identify clinical dataelements. A user interface and workflow for quickly validating thatinformation.

FIG. 6 depicts a flow chart for an example method 600 for voicerecording, playback, and integration with a patient record. At 610, avoice record is captured. For example, a voice record is captured viareal time (including substantially real time) dictation. At 620, thevoice record is marked. For example, the voice record is automaticallyand/or manually marked with one or more time stamps, segment(s),keyword(s), etc. At 630, the voice record is connected with one or moreapplications used by the user. For example, the voice record is insertedinto a time continuum and/or patient record associated with a patient.At 640, the voice record is translated (e.g., via a speech to textconversion). At 650, a user can replay the stored voice record. Forexample, the user can replay an entire voice record, a marked field ofthe voice record, a selected section of the voice record, etc., to allowa clinician to replay and confirm/correct determined values from aspeech to text translation of the voice record. At 660, one or morevalues can be corrected/updated based on the reviewed recording. Thus,voice recording and playback helps facilitate an improved workflow withapplications, voice dictation capture, user review, reporting, etc.

Certain examples provide clinicians with a more efficient mechanism toreceive and record information while providing patient care. FIG. 7illustrates an example voice recording and review interface 700. Asshown in FIG. 7, audio data 710 can be parsed and made visible 720 forvalidation by a user. Audio can be made available for replay during avalidation phase, for example. Voice data can be played back, translatedinto a note, etc. Video data can be similarly provided.

In certain examples, a summary of information can be provided by aclinician and/or patient and spoken without having to type into acomputer.

In certain examples, dictation can be parsed into discrete values, andthe discrete values 720 can be displayed and provided outbound tocorresponding clinical documentation. For example, a nurse's comment“Heartrate 120” is translated and parsed to determine that the field is“heartrate” and the value for that field is “120”. In certain examples,after a voice recording has been mapped to fields and values, aconfidence index and/or status 730 can be provided to a user. The usercan then replay 740, approve 730, change, and/or store a value, forexample. The user can replay 740 an entire recording, a certain portion715 (e.g., keyword or section), etc., of the voice data 710, forexample. Voice playback can be started, stopped, paused, forwarded,reversed, etc., using one or more controls 750-751, for example.

Voice charting helps a user receive patient history and details as aclinician enters a room with the patient. A user can dictate examresults without paper or computer available (e.g., via mobile device). Aviewer and/or reporting tool can prompt the user for missing examdetails and/or other items and provide visual indicators and/or alertsto the user, for example. Using mobile dictation and reporting, aclinician can visit multiple patients before stopping at the computerfor further documentation and analysis.

In certain examples, an audio and/or visual notification can be providedto user when lab or other results are ready. Audio and/or visualnotification can also be used to provide reminders for patient care.

“Smart” Clinical Annotations

In certain examples, users are able to enter clinical annotations (e.g.,documented observations, events, alerts, etc.) in a structured format bygiving values to specified data items with a time context. In certainexamples, a system presents the user with a pre-defined set of items toannotate. Additionally, the system includes a capability to learn aclinical state of the patient, alter a user interface presented to theuser, and modify workflows in the user experience (UX) appropriately.The system and associated method(s) integrate both manually documentedand acquired data to recognize a state or condition of the patient. Thestate can represent a phase of care (e.g., pre-operative versusintra-operative phases in a surgical unit), some clinical progression(e.g., antepartum, labor, delivery, postpartum stages in a labor anddelivery unit), and/or other patient status (e.g., a postpartum patientwho has delivered a girl versus one who has delivered a boy). As thepatient's state changes, the nature of information presented to andrecorded by the end user changes to reflect the current patient state.

Certain examples provide systems and methods to recognize patient stateand adapt presented information accordingly. The state can be a functionof a single documented item including a certain expected value or beingwithin some expected range, for example. The state can be defined by agroup of items including expected values. The state can depend upon achronological order of the recording of a group of variables, forexample. A patient can also occupy multiple states concurrently. A setof rules can be configured to define the identified states.

For example, a labor and delivery (L&D) patient may have four (4) states—antepartum, labor, delivery, and postpartum. A system can inspectwhether the patient has had documented contraction intervals of five (5)minutes or less, any dilatation value less than ten (10) centimeters(cm) is recorded, and is admitted to a bed in an L&D unit. If allconditions are true, then the system recognizes that the patient is inlabor. Similarly, if a patient is in the postpartum state, the systemcan recognize that she has delivered a boy or a girl depending on thecharted gender. At this point, she is assigned one state based upon thefact that she delivered and another state based upon the delivery andthe baby's gender. Another example involves a patient who is in thedelivery state at the same time she is in a C-section state (versusnatural delivery state).

In certain examples, the user experience is altered streamlinedocumentation and reduce errors. Continuing the previous example, thepatient may appear differently in a roster once the system recognizesthe labor state. The system can also add or remove certain documentationcapabilities based upon the state. In the example, once a patient hasentered the post-partum/girl delivery state, the user no longer has anoption to chart that the baby was circumcised. If a patient is in thenatural delivery state, the user will be unable to chart any informationrelated to performance of a C-section, for example. Thus, availableannotation options can be provided, removed, limited, and/or otherwiseguided based on patient state and other available patient data, forexample.

In certain examples, systems and methods used for clinicaldocumentation, often in a high-paced environment in which clinicians arecaring for multiple patients at the same time. Awareness of patientstate allows a system to streamline workflows, presenting users withonly pertinent options for use and documentation at given state(s).Thus, less time can be spent doing the work of documentation and moretime spent attending to the patient. Additionally, by only allowing auser to record appropriate information, inconsistencies and errantconflicts in the record can be minimized or prevented.

Streamlining nurse workflow allows nurses and/or other healthcarepractitioners to spend more time interacting with their patients andless time documenting on the computer. Additionally, error reduction isprovided by lessening clinical risk and legal liability in the case ofinaccurate information being stored in the patient's record.

In certain examples, inconsistencies can also be reported afterdocumentation is complete. Post-hoc examination can identify specificdata items that conflict with each other.

In certain examples, a rules engine can be applied to infer a patientstate. In certain examples, multiple states can be applied to a patientat the same time. In certain examples, sub-states and/or combinationstates (e.g., state delivered+state girl=state delivered girl) can beprovided. In certain examples, documented items from external datasources (e.g., external information systems via interface, fetalmonitor, other devices, etc.) can be examined by a system to determinestate.

In certain examples, a user can also explicitly specify a patient stateto confirm, correct, or override an automated system determination ofstate. The system can then provide intelligent documentationcapabilities based upon the declared state.

FIG. 8 illustrates an example method 800 for smart clinical annotationof patient information in a clinical (e.g., perinatal) workflow. At 810,one or more applicable patient states are identified. For example, oneor more states indicative of patient condition, patient status, patienttreatment, etc., are automatically identified based on stored patientdata (e.g., EMR data, personal health record (PHR) data, radiologyinformation system (RIS) data, picture archiving and communicationsystem (PACS) data, etc.).

At 820, based on patient state(s), allowable annotations made by a useron a patient record are adjusted. For example, as a user is chartingthat a patient is eight (8) cm dilated, the type of availableannotations is automatically adjusted to be more related to babydelivery than if the user were annotating that the patient is two (2) cmdilated.

At 830, based one or more completed fields, values are suggested forremaining fields. For example, a user begins to input information into afield and values can then be suggested for one or more remaining fieldsbased on the existing input and a historical data store of annotations.

At 840, data abnormalities or inconsistencies are identified. Forexample, data that does not make sense given other provided data isflagged. For example, a user cannot chart about a circumcision when thebaby is a girl. In certain examples, certain choices may not be providedto a user based on the other information available. Based on this“smart”, more efficient charting, error can be reduced or prevented.Clinical decision support and rules can be used to support such “smart”charting.

At 850, values are calculated automatically based on annotation input.The calculated values can form part of an annotation and/or can beapproved by a user and placed into a patient record and/or report. Forexample, an annotation of a waveform can automatically trigger awaveform analysis that is pulled into an annotation. For example, a usercan mark a fifteen (15) minute window and values can be calculated basedon that marked window. The automatically calculated values can beapproved and dropped into a record.

At 860, an annotation can be selected and copied into anotherannotation, record, and/or report. For example, recent documentation canbe selected and copied by a user into another annotation, patientrecord, report, etc.

FIG. 9 illustrates an example interface 900 for expanded annotationreview. The annotation review 900 includes clinical data 910 for apatient, clinician annotation(s) 920, system or automaticallygenerated/determined annotation(s) 930, and one or more controlsincluding a collapse/expand control 940, a search control 950, etc.

FIGS. 3, 5, 6, and 8 are flow diagrams representative of example machinereadable instructions that may be executed to implement example systemsand methods described herein, and/or portions of one or more of thosesystems (e.g., systems 100 and 1100) and methods. The example processesof FIGS. 3, 5, 6, and 8 can be performed using a processor, a controllerand/or any other suitable processing device. For example, the exampleprocesses of FIGS. 3, 5, 6, and 8 can be implemented using codedinstructions (e.g., computer readable instructions) stored on a tangiblecomputer readable medium such as a flash memory, a read-only memory(ROM), and/or a random-access memory (RAM). As used herein, the termtangible computer readable medium is expressly defined to include anytype of computer readable storage and to exclude propagating signals.Additionally or alternatively, the example processes of FIGS. 3, 5, 6,and 8 can be implemented using coded instructions (e.g., computerreadable instructions) stored on a non-transitory computer readablemedium such as a flash memory, a read-only memory (ROM), a random-accessmemory (RAM), a cache, or any other storage media in which informationis stored for any duration (e.g., for extended time periods,permanently, brief instances, for temporarily buffering, and/or forcaching of the information). As used herein, the term non-transitorycomputer readable medium is expressly defined to include any type ofcomputer readable medium and to exclude propagating signals.

Alternatively, some or all of the example processes of FIGS. 3, 5, 6,and 8 can be implemented using any combination(s) of applicationspecific integrated circuit(s) (ASIC(s)), programmable logic device(s)(PLD(s)), field programmable logic device(s) (FPLD(s)), discrete logic,hardware, firmware, etc. Also, some or all of the example processes ofFIGS. 3, 5, 6, and 8 can be implemented manually or as anycombination(s) of any of the foregoing techniques, for example, anycombination of firmware, software, discrete logic and/or hardware.Further, although the example processes of FIGS. 3, 5, 6, and 8 aredescribed with reference to the flow diagrams of FIGS. 3, 5, 6, and 8,other methods of implementing the processes of FIGS. 3, 5, 6, and 8 canbe employed. For example, the order of execution of the blocks can bechanged, and/or some of the blocks described can be changed, eliminated,sub-divided, or combined. Additionally, any or all of the exampleprocesses of FIGS. 3, 5, 6, and 8 can be performed sequentially and/orin parallel by, for example, separate processing threads, processors,devices, discrete logic, circuits, etc.

FIG. 10 is a block diagram of an example processor system 1010 that canbe used to implement the systems, apparatus and methods describedherein. As shown in FIG. 10, the processor system 1010 includes aprocessor 1012 that is coupled to an interconnection bus 1014. Theprocessor 1012 can be any suitable processor, processing unit ormicroprocessor. Although not shown in FIG. 10, the system 1010 can be amulti-processor system and, thus, can include one or more additionalprocessors that are identical or similar to the processor 1012 and thatare communicatively coupled to the interconnection bus 1014.

The processor 1012 of FIG. 10 is coupled to a chipset 1018, whichincludes a memory controller 1020 and an input/output (I/O) controller1022. As is well known, a chipset typically provides I/O and memorymanagement functions as well as a plurality of general purpose and/orspecial purpose registers, timers, etc. that are accessible or used byone or more processors coupled to the chipset 1018. The memorycontroller 1020 performs functions that enable the processor 1012 (orprocessors if there are multiple processors) to access a system memory1024 and a mass storage memory 1025.

The system memory 1024 may include any desired type of volatile and/ornon-volatile memory such as, for example, static random access memory(SRAM), dynamic random access memory (DRAM), flash memory, read-onlymemory (ROM), etc. The mass storage memory 1025 may include any desiredtype of mass storage device including hard disk drives, optical drives,tape storage devices, etc.

The I/O controller 1022 performs functions that enable the processor1012 to communicate with peripheral input/output (I/O) devices 1026 and1028 and a network interface 1030 via an I/O bus 1032. The I/O devices1026 and 1028 may be any desired type of I/O device such as, forexample, a keyboard, a video display or monitor, a mouse, etc. Thenetwork interface 1030 may be, for example, an Ethernet device, anasynchronous transfer mode (ATM) device, an 802.11 device, a DSL modem,a cable modem, a cellular modem, etc. that enables the processor system1010 to communicate with another processor system.

While the memory controller 1020 and the I/O controller 1022 aredepicted in FIG. 10 as separate blocks within the chipset 1018, thefunctions performed by these blocks may be integrated within a singlesemiconductor circuit or may be implemented using two or more separateintegrated circuits.

Thus, certain examples provide one or more floating windows or “alwaysavailable” viewers providing streaming, real time, or “live” data to auser regarding one or more of his/her patients. Data can include fetaland/or patient waveform data, patient time continuum, voice record,annotations, reports, etc. The floating viewer can be combined,separated, etc., and positioned at any location on a user's display.Certain examples provide rules-based limitations and/or assistanceregarding annotations, reporting, charting, etc. Certain examplesprovide speech to text conversion for review, playback, and inclusion inannotations, reports, charting, etc.

Certain examples contemplate methods, systems and computer programproducts on any machine-readable media to implement functionalitydescribed above. Certain examples can be implemented using an existingcomputer processor, or by a special purpose computer processorincorporated for this or another purpose or by a hardwired and/orfirmware system, for example.

One or more of the components of the systems and/or steps of the methodsdescribed above may be implemented alone or in combination in hardware,firmware, and/or as a set of instructions in software, for example.Certain examples can be provided as a set of instructions residing on acomputer-readable medium, such as a memory, hard disk, DVD, or CD, forexecution on a general purpose computer or other processing device.Certain examples can omit one or more of the method steps and/or performthe steps in a different order than the order listed. For example, somesteps/blocks may not be performed in certain examples. As a furtherexample, certain steps may be performed in a different temporal order,including simultaneously, than listed above.

Certain examples include computer-readable media for carrying or havingcomputer-executable instructions or data structures stored thereon. Suchcomputer-readable media can be any available media that may be accessedby a general purpose or special purpose computer or other machine with aprocessor. By way of example, such computer-readable media can includeRAM, ROM, PROM, EPROM, EEPROM, Flash, CD-ROM, DVD, Blu-ray, optical diskstorage, magnetic disk storage or other magnetic storage devices, or anyother medium which can be used to carry or store desired program code inthe form of computer-executable instructions or data structures andwhich can be accessed by a general purpose or special purpose computeror other machine with a processor. Combinations of the above are alsoincluded within the scope of computer-readable media.Computer-executable instructions comprise, for example, instructions anddata which cause a general purpose computer, special purpose computer,or special purpose processing machines to perform a certain function orgroup of functions.

Generally, computer-executable instructions include routines, programs,objects, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Computer-executableinstructions, associated data structures, and program modules representexamples of program code for executing steps of certain methods andsystems disclosed herein. The particular sequence of such executableinstructions or associated data structures represent examples ofcorresponding acts for implementing the functions described in suchsteps.

Certain examples can be practiced in a networked environment usinglogical connections to one or more remote computers having processors.Logical connections can include a local area network (LAN) and a widearea network (WAN) that are presented here by way of example and notlimitation. Such networking environments are commonplace in office-wideor enterprise-wide computer networks, intranets and the Internet and canuse a wide variety of different communication protocols. Those skilledin the art will appreciate that such network computing environments willtypically encompass many types of computer system configurations,including personal computers, hand-held devices, multi-processorsystems, microprocessor-based or programmable consumer electronics,network PCs, minicomputers, mainframe computers, and the like. Examplescan also be practiced in distributed computing environments where tasksare performed by local and remote processing devices that are linked(either by hardwired links, wireless links, or by a combination ofhardwired or wireless links) through a communications network. In adistributed computing environment, program modules may be located inboth local and remote memory storage devices.

An exemplary system for implementing the overall system or portions ofembodiments of the invention might include a general purpose computingdevice in the form of a computer, including a processing unit, a systemmemory, and a system bus that couples various system componentsincluding the system memory to the processing unit. The system memorymay include read only memory (ROM) and random access memory (RAM). Thecomputer may also include a magnetic hard disk drive for reading fromand writing to a magnetic hard disk, a magnetic disk drive for readingfrom or writing to a removable magnetic disk, and an optical disk drivefor reading from or writing to a removable optical disk such as a CD ROMor other optical media. The drives and their associatedcomputer-readable media provide nonvolatile storage ofcomputer-executable instructions, data structures, program modules andother data for the computer.

While the invention has been described with reference to certainexamples or embodiments, it will be understood by those skilled in theart that various changes may be made and equivalents may be substitutedwithout departing from the scope of the invention. In addition, manymodifications may be made to adapt a particular situation or material tothe teachings of the invention without departing from its scope.Therefore, it is intended that the invention not be limited to theparticular embodiment or example disclosed, but that the invention willinclude all embodiments falling within the scope of the description andappended claims.

1. A patient monitor system providing data regarding a selected patient to a user, said system comprising: a memory to buffer live data received from one or more external sources for a selected patient; a user interface to display a time continuum of live data for the selected patient, the time continuum including data from a current moment to the beginning of a cycle of care for the selected patient, the user interface including: a compressed view of the time continuum of live data over a first time period; an expanded view of the time continuum of live data over a second time period, the second time period to be shorter than the first time period; one or more indicators to be associated with data shown in the expanded view, each indicator to indicate a point of interest in the data; a first control to change the second time period for the expanded view display; and a second control to mark an indicator with respect to the data shown in the expanded view of the time continuum of live data; and a processor to process data for output via the user interface and to process user input.
 2. The system of claim 1, wherein the expanded view of the time continuum of live data is to include monitored waveform data provided against a baseline for the selected patient.
 3. The system of claim 1, wherein the second control is to allow the user to at least one of overlay data, mark data, and insert an annotation with respect to the time continuum of live data in the expanded view.
 4. The system of claim 3, wherein an annotation inserted by the user is to be associated with the time continuum of live data in a report.
 5. The system of claim 1, wherein the second control is to facilitate annotation of the time continuum of live data provided in the expanded view, the second control to assist the user in completing an annotation and to evaluate input from the user according to a criterion related to at least one of the data in the expanded view and patient information.
 6. The system of claim 1, wherein the second control is to facilitate user selection of a portion of the time continuum data and automated calculation of a value associated with the selected portion, the value to be added as an annotation of the selected portion.
 7. The system of claim 6, wherein the annotation of the selected value is to be automatically added to a report by the processor.
 8. The system of claim 1, wherein the first control comprises a control for voice marking and playback, wherein the processor is to parse voice recording from the first control into discrete values for storage and playback in association with selected data from the expanded view of the time continuum of live data.
 9. The system of claim 8, wherein the voice input is to be converted to an annotation and added to a report by the processor.
 10. The system of claim 8, wherein a confidence index is to be generated in association with the parsing of the voice recording into a discrete value.
 11. The system of claim 8, wherein the first control is to facilitate replay of all and a portion of the voice recording based on an index associated with the parsed voice recording.
 12. A computer-implemented method for real time monitoring of patient data comprising: receiving live data from one or more external sources for a selected patient; displaying, via a user interface, a time continuum of live data for the selected patient, the time continuum including data from a current moment to the beginning of a cycle of care for the selected patient, the display via user interface including: a compressed view of the time continuum of live data over a first time period; an expanded view of the time continuum of live data over a second time period, the second time period to be shorter than the first time period; one or more indicators to be associated with data shown in the expanded view, each indicator to indicate a point of interest in the data; a first control to change the second time period for the expanded view display; and a second control to mark an indicator with respect to the data shown in the expanded view of the time continuum of live data; and receiving and processing user input with respect to the user interface.
 13. The method of claim 12, wherein the expanded view of the time continuum of live data is to include monitored waveform data provided against a baseline for the selected patient.
 14. The method of claim 12, wherein the second control is to allow the user to at least one of overlay data, mark data, and insert an annotation with respect to the time continuum of live data in the expanded view.
 15. The method of claim 14, associating an annotation inserted by the user with the time continuum of live data in a report.
 16. The method of claim 12, further comprising facilitating, via the second control, annotation of the time continuum of live data provided in the expanded view, the facilitating including assisting the user in completing an annotation and evaluating input from the user according to a criterion related to at least one of the data in the expanded view and patient information.
 17. The method of claim 12, further comprising facilitating, via the second control, user selection of a portion of the time continuum data, automatically calculating a value associated with the selected portion, and adding the value as an annotation of the selected portion.
 18. The method of claim 17, further comprising automatically adding the annotation of the selected value to a report.
 19. The method of claim 12, wherein the first control comprises a control for voice marking and playback, and wherein the method further comprises parsing a voice recording from the first control into discrete values for storage and playback in association with selected data from the expanded view of the time continuum of live data.
 20. The method of claim 19, further comprising converting the voice recording to an annotation and adding the annotation to a report.
 21. The method of claim 19, further comprising generating a confidence index in association with the parsing of the voice recording into a discrete value.
 22. The method of claim 19, further comprising facilitating replay of all and a portion of the voice recording based on an index associated with the parsed voice recording.
 23. A tangible computer readable storage medium including executable program instructions which, when executed by a computer processor, cause the computer to implement a patient monitoring system providing data regarding a selected patient to a user, said patient monitoring system comprising: a user interface to display a time continuum of live data for a selected patient, the time continuum including data from a current moment to the beginning of a cycle of care for the selected patient, the user interface including: a compressed view of the time continuum of live data over a first time period; an expanded view of the time continuum of live data over a second time period, the second time period to be shorter than the first time period; one or more indicators to be associated with data shown in the expanded view, each indicator to indicate a point of interest in the data; a first control to change the second time period for the expanded view display; and a second control to mark an indicator with respect to the data shown in the expanded view of the time continuum of live data.
 24. The computer readable medium of claim 23, wherein the first control comprises a control for voice marking and playback, wherein the processor is to parse voice recording from the first control into discrete values for storage and playback in association with selected data from the expanded view of the time continuum of live data.
 25. The computer readable medium of claim 23, wherein the second control is to facilitate annotation of the time continuum of live data provided in the expanded view, the second control to assist the user in completing an annotation and to evaluate input from the user according to a criterion related to at least one of the data in the expanded view and patient information.
 26. The computer readable medium of claim 23, wherein the second control is to facilitate user selection of a portion of the time continuum data and automated calculation of a value associated with the selected portion, the value to be added as an annotation of the selected portion. 